Towards a Flexible Approach for Variability Mining
Year: 2024
Type: conference-paper
Abstract: Software Product Line (SPL) Engineering relies on explicitly documenting and managing variability information, typically in variability models such as feature models, and relating them with reusable artifacts, e.g., software components. Many companies still rely on clone-and-own reuse approaches and could benefit from adopting an SPL approach instead. However, extracting variability information from existing systems is often challenging due to their size and complexity. Also, manually creating and maintaining variability models and relating them with reusable artifacts is very expensive and requires expert knowledge. To address this problem, SPL reverse-engineering approaches try to automatically extract variability information from existing systems to populate variability models with it. Unfortunately, many existing approaches are limited to a single artifact type and only a few more widely applicable methods have been proposed. In this short paper, we present our vision of a flexible, extensible and artifact-independent approach, which provides a framework for users to mine the variability of their existing system variants and automatically reverse-engineer SPLs. We discuss challenges and give an overview of a possible architecture as well as the steps necessary to realize our approach.
Institution: Johannes Kepler University of Linz
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Funder: Universitas Brawijaya
OpenAlex ID: W4401519396